To combat high failure rates in CNS, Autobahn designed its Phase 2 study with the statistical power of a Phase 3 trial (+90%). This capital-intensive approach aims to get a definitive answer on drug efficacy early, increasing confidence for a successful Phase 3 replication and avoiding larger, later-stage flameouts.

Many medtech companies design large trials where a tiny, clinically meaningless response can be statistically significant. Dr. Holman advises entrepreneurs to instead run rigorous trials that prove genuine clinical value, arguing that credible data is the ultimate moat, even if it carries a higher risk of failure.

Progress in drug development often hides inside failures. A therapy that fails in one clinical trial can provide critical scientific learnings. One company leveraged insights from a failed study to redesign a subsequent trial, which was successful and led to the drug's approval.

The most valuable lessons in clinical trial design come from understanding what went wrong. By analyzing the protocols of failed studies, researchers can identify hidden biases, flawed methodologies, and uncontrolled variables, learning precisely what to avoid in their own work.

To combat bias, the team contractually agrees on strict, predefined success metrics for major milestones *before* any data is generated. A program either meets the criteria or it doesn't, removing ambiguity from go/no-go decisions. This discipline is applied both internally and at the board level for spun-out companies.

In biotech, early data is often ambiguous. Instead of judging programs on potential, leaders must prioritize based on the time and capital required to reach a clear 'yes' or 'no' outcome. Indefinite 'gray zone' projects drain resources that could fund a winner.

While biotech cannot easily replicate tech's rapid iteration cycles due to high costs and long feedback loops, it can adopt the capital efficiency model of tech seed investing. The strategy is to kill flawed projects quickly and cheaply, ensuring that when you lose, you lose small.

Scientists often design trials to answer every possible academic question, which adds complexity and patient burden. Drug development trials should be ruthlessly focused on two things only: safety and efficacy. All other extraneous research can wait for post-approval studies.

Acadia's R&D process starts by considering what will ultimately matter to patients, physicians, and payers. This "end in mind" approach ensures clinical trials are designed to demonstrate meaningful, commercially relevant benefits. It forces realism about a drug's potential impact early in development, avoiding wasted resources on therapies that won't be adopted.